Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for shifting Organizational Practices
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Large and ever-evolving industry organizations continue to invest more time and resources to incorporate responsible AI into production-ready systems to increase algorithmic accountability. This paper examines and seeks to offer a framework for analyzing how organizational culture and structure impact the effectiveness of responsible AI initiatives in practice. We present the results of ethnographic interviews with practitioners working in industry, investigating common challenges, ethical tensions, and effective enablers. Focusing on major companies developing or utilizing AI, we have mapped what organizational structures currently support or hinder responsible AI initiatives, what aspirational future practices would best enable effective initiatives, and what key elements comprise the transition from current to aspirational future work practices.
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